Non-local to local limit for stochastic conservation laws
Abstract
This work proves the convergence of stochastic nonlocal conservation laws, with spatially inhomogeneous noise, to stochastic conservation laws when the range of particle interaction vanishes. This provides rigorous justification for a class of stochastic conservation laws that has received considerable attention in the last decade. To handle technical challenges such as gradient-dependent noise, modified versions of the equations with specific cutoff boundaries are utilized and new uniform estimates to ensure stability during the limiting process are established. In addition, the work demonstrates that this convergence depends on the presence of a viscous term, as a counterexample shows that without it, the limiting solution may fail to be an entropy solution.
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BibTeX
@misc{geiss2026nonlocal,
title = {{Non-local to local limit for stochastic conservation laws}},
author = {Sarah Geiss and Benjamin Gess},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.36099},
eprint = {2610.36099},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.36099},
}
RIS
TY - UNPB
TI - Non-local to local limit for stochastic conservation laws
AU - Sarah Geiss
AU - Benjamin Gess
PY - 2026
DA - 2026/10/26
PB - arXiv
DO - 10.48550/arxiv.2610.36099
UR - https://arxiv.org/abs/2610.36099
AB - This work proves the convergence of stochastic nonlocal conservation laws, with spatially inhomogeneous noise, to stochastic conservation laws when the range of particle interaction vanishes. This provides rigorous justification for a class of stochastic conservation laws that has received considerable attention in the last decade. To handle technical challenges such as gradient-dependent noise, modified versions of the equations with specific cutoff boundaries are utilized and new uniform estimates to ensure stability during the limiting process are established. In addition, the work demonstrates that this convergence depends on the presence of a viscous term, as a counterexample shows that without it, the limiting solution may fail to be an entropy solution.
ER -